Oral Session

Oral Session
Urogenital＜Oral＞

Fri. Sep 9, 2022 3:05 PM - 4:05 PM Room 4 (Nagoya Congress Center, Bldg. 2, 2F, Conference Room 224)

Chairs: Aki Kido（Department of Diagnostic Radiology and Nuclear Medicine, Graduate School of Medicine, Kyoto University）, Yuki Arita（Department of Radiology, Keio University School of Medicine）

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[OS05-1] Comparison of PI-RADS Evaluation Capability among Actual DWIs at b=1000 and 3000s/mm2 with and without DLR and Computed DWI at b=2000s/mm2

^○Yoshiharu Ohno^1,2, Yuichiro Sano³, Kaori Yamamoto³, Maiko Shinohara³, Akiyoshi Iwase⁴, Masao Yui³, Masato Ikedo³, Satomu Hanamatsu¹, Yuki Obama¹, Takahiro Matsuyama¹, Hiroyuki Nagata², Takahiro Ueda¹, Hirotaka Ikeda¹, Kazuhiro Murayama¹, Kazuhiro Katada¹, Shigeki Kobayashi^4,5, Hiroshi Toyama¹ (1.Department of Radiology, Fujita Health University School of Medicine, 2.Joint Research Laboratory of Advanced Medical Imaging, Fujita Health University School of Medicine, 3.Canon Medical Systems Corporation, 4.Department of Radiology, Fujita Health University Hospital, 5.Faculty of Radiological Technology, Fujita Health University, School of Medical Sciences)

[OS05-2] DWI with Reverse Encoding Distortion Correction (RDC): Utility for Improving Image Quality and ADC Evaluation for Diagnosis of Prostatic Cancer

^○Yoshiharu Ohno^1,2, Maiko Shinohara³, Kaori Yamamoto³, Akiyoshi Iwase⁴, Masao Yui³, Masato Ikedo³, Minami Furuta¹, Satomu Hanamatsu¹, Yuki Obama¹, Takahiro Matsuyama¹, Hiroyuki Nagata², Takahiro Ueda¹, Hirotaka Ikeda¹, Kazuhiro Murayama¹, Kazuhiro Katada¹, Shigeki Kobayashi^4,5, Hiroshi Toyama¹ (1.Department of Radiology, Fujita Health University School of Medicine, 2.Joint Research Laboratory of Advanced Medical Imaging, Fujita Health University School of Medicine, 3.Canon Medical Systems Corporation, 4.Department of Radiology, Fujita Health University Hospital, 5.Faculty of Radiological Technology, Fujita Health University, School of Medical Sciences)

[OS05-3] Diagnostic accuracy of high b-value synthetic DWI at 3T for clinically significant prostate cancer detection: comparison with high b-value native DWI

^○Ayumu Kido¹, Yu Ueda², Yuichi Kojima¹, Mitsuru Takeuchi³, Midori Yamamoto¹, Akira Yamamoto¹, Tsutomu Tamada¹ (1.Department of Radiology, Kawasaki Medical School, 2.Philips Japan, 3.Department of Radiology, Radiolonet Tokai)

[OS05-4] Single-shot EPI using Compressed SENSE in prostate MRI: compared with conventional single-shot EPI

^○Hirokazu Otsuka¹, Yoshihiko Fukukura², Takashi Iwanaga¹, Yasumasa Saigo¹, Masami Yoneyama³, Takashi Yoshiura² (1.Department of Radiological Technology, Kagoshima University Hospital, 2.Department of Radiology, Kagoshima University Graduate School of Medical and Dental Sciences, 3.Philips Japan)

[OS05-5] Usefulness of the novel diffusion weighted imaging technique for the detection of prostate cancers

^○Fumiyasu Tsushima¹, Hiromasa Fujita¹, Shinya Kakehata¹, Hiroyuki Miura¹, Shingo Kakeda¹, Shingo Hatakeyama², Chikara Oyama² (1.Department of Radiology, Hirosaki University Graduate School of Medicine, 2.Department of Urology, Hirosaki University Graduate School of Medicine)

[OS05-6] Radiomic machine learning for assessment of risk factors for endometrial cancer and its effects on radiologists' decisions of deep myometrial invasion

^○Satoshi Otani^1,2, Yuki Himoto¹, Mizuho Nishio³, Koji Fujimoto⁴, Yusaku Moribata⁵, Masahiro Yakami⁶, Yasuhisa Kurata¹, Junzo Hamanishi⁷, Akihiko Ueda⁷, Sachiko Minamiguchi⁸, Masaki Mandai⁷, Aki Kido¹, Ryota Fujimoto², Yuji Nakamoto¹ (1.Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, 2.Department of Radiology, Kyoto City Hospital, 3.Department of Radiology, Kobe University, 4.Department of Real World Data Research and Development, Graduate School of Medicine, Kyoto University, 5.Department of Diagnostic Radiology, Shiga General Hospital, 6.Preemptive Medicine and Lifestyle-related Disease Research Center, Kyoto University Hospital, 7.Department of Gynecology and Obstetrics, Kyoto University, 8.Department of Diagnostic Pathology, Kyoto University)